Jomo Cosmos vs Magesi: result 2-1 and analysis
1st DivisionNational First Division - Round 13Kick-off on December 4, 2016 at 12:30 PM (UTC)Tsakane Stadium, Brakpan
Full time
What was the result of Jomo Cosmos vs Magesi?
Jomo Cosmos won 2-1 on December 4, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Jomo Cosmos have 4 wins, 4 draws and 4 defeats; Magesi have 2, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2016 | Thanda Royal Zulu FC(away) | 0-2 | 1st Division |
| Nov 20, 2016 | Real Kings FC(home) | 0-0 | 1st Division |
| Nov 5, 2016 | Mbombela United(away) | 0-1 | 1st Division |
| Oct 30, 2016 | Witbank Spurs(home) | 2-1 | 1st Division |
| Oct 26, 2016 | Stellenbosch(away) | 1-3 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | Amazulu(home) | 3-2 | 1st Division |
| Nov 19, 2016 | Univ. OF Pretoria FC(away) | 0-1 | 1st Division |
| Nov 5, 2016 | Mthatha Bucks(home) | 1-1 | 1st Division |
| Oct 29, 2016 | Milano United(away) | 0-1 | 1st Division |
| Oct 26, 2016 | Santos FC(home) | 0-0 | 1st Division |
How many goals should we expect?
Jomo Cosmos score 1.0 and concede 1.0 goals per match over their last 12; Magesi score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jomo Cosmos | 1.0 | 1.0 | 4 | 6/12 | 4/12 |
| Magesi | 0.8 | 1.8 | 2 | 5/12 | 5/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Magesi | 6 | 4 | 2 | 0 | 7 | 2 | 14 |
A question about Jomo Cosmos vs Magesi?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy